Abstract
To assist the user in his/her quest for information it may be possible to draw and combine information from multiple resources in order to provide more accurate answers/recommendations. Resources can be structured (such as ontologies and taxonomies) or unstructured (corpora). The purpose of this work is to explore how better recommendations can be provided to users by mining and exploiting semantic relations, hidden associations, and overlapping information between various concepts in multiple bioinformatics resources such as ontologies, websites, and corpora. The work also utilizes users’ interests to enhance the provided recommendations. A number of techniques will be explored and developed, including ontology mapping, reasoning with multiple resources, and constructing adaptive user profiles.
Chapter PDF
Similar content being viewed by others
References
Ding, L., Kolari, P., Ding, Z., Avancha, S.: Using ontologies in the semantic web: A survey. In: Ontologies, pp. 79–113. Springer (2007)
Huang, Z., Van Harmelen, F.: Using semantic distances for reasoning with inconsistent ontologies. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 178–194. Springer, Heidelberg (2008)
McGuinness, D.L., Van Harmelen, F., et al.: OWL web ontology language overview. W3C Recommendation 10(2004-03) (2004)
Mezghani, M., Zayani, C.A., Amous, I., Gargouri, F.: A user profile modelling using social annotations: a survey. In: WWW 2012, pp. 969–976 (2012)
Middleton, S.E., Shadbolt, N.R., De Roure, D.C.: Ontological user profiling in recommender systems. ACM Transactions on Information Systems 22(1), 54–88 (2004)
Miller, E.: An introduction to the resource description framework. Bulletin of the American Society for Information Science and Technology (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Almuhaimeed, A., Fasli, M. (2014). Exploiting Different Bioinformatics Resources for Enhancing Content Recommendations. In: Casteleyn, S., Rossi, G., Winckler, M. (eds) Web Engineering. ICWE 2014. Lecture Notes in Computer Science, vol 8541. Springer, Cham. https://doi.org/10.1007/978-3-319-08245-5_50
Download citation
DOI: https://doi.org/10.1007/978-3-319-08245-5_50
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08244-8
Online ISBN: 978-3-319-08245-5
eBook Packages: Computer ScienceComputer Science (R0)